This Kubernetes Architecture series covers the main components used in Kubernetes and provides an introduction to Kubernetes architecture. After reading these blogs, you’ll have a much deeper understanding of the main reasons for choosing Kubernetes as well as the main components that are involved when you start running applications on Kubernetes.

Prometheus is an open-source monitoring and alerting toolkit that has gained significant popularity in DevOps and systems monitoring. At the core of Prometheus lies PromQL (Prometheus Query Language), a powerful and flexible query language used to extract valuable insights from the collected metrics. In this guide, we will explore the basics of PromQL and provide query examples for an example use case.

API monitoring is the process of keeping tabs on the performance of your REST APIs. Learn how Kentik’s API monitoring tools let you identify bottlenecks, spot performance drops, and maintain availability to ensure a quality experience for your end users. Learn more in this API monitoring tutorial.

While Kubernetes comes with a number of benefits, it’s yet another piece of infrastructure that needs to be managed. Here, I’ll talk about three interesting ways that Honeycomb uses Honeycomb to get insight into our Kubernetes clusters. It’s worth calling out that we at Honeycomb use Amazon EKS to manage the control plane of our cluster, so this document will focus on monitoring Kubernetes as a consumer of a managed service.

When we detect a problem with your site, we can notify you via mail, a Slack message, a webhook, or any of our other notifications channels. This is enough for most of our users, but those who work in larger teams often need more flexibility. Today, we are launching our PagerDuty integration. PagerDuty is a cloud-based incident management platform that helps organizations improve operational reliability by providing real-time alerts, on-call scheduling, and incident tracking.

When you first onboard to a monitoring and security platform, it can be difficult to know where to start. Which services should you monitor? What thresholds should you set? How often should you alert your team, and where’s the best starting point for investigations?